Generative Diffusion Models on Graphs: Methods and Applications

6 February 2023

Papers citing "Generative Diffusion Models on Graphs: Methods and Applications"

21 / 21 papers shown

Title
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Abdullah Alchihabi Yuhong Guo DiffM 25 0 0 03 Jan 2025
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing Kaizhi Zheng Xiaotong Chen Xuehai He Jing Gu Linjie Li Zhengyuan Yang Kevin Qinghong Lin Jianfeng Wang Lijuan Wang Xin Eric Wang KELM DiffM 35 0 0 03 Oct 2024
Sub-graph Based Diffusion Model for Link Prediction Hang Li Wei Jin Geri Skenderi Harry Shomer Wenzhuo Tang Wenqi Fan Jiliang Tang DiffM 26 0 0 13 Sep 2024
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 27 8 0 19 May 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 95 19 0 15 May 2024
Recommender Systems in the Era of Large Language Models (LLMs) Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei ... Zhen Wen Fei Wang Xiangyu Zhao Jiliang Tang Qing Li KELM 61 308 0 05 Jul 2023
MoleCLUEs: Molecular Conformers Maximally In-Distribution for Predictive Models Michael R. Maser Natasa Tagasovska Jae Hyeon Lee Andrew Watkins 31 0 0 20 Jun 2023
DensePure: Understanding Diffusion Models towards Adversarial Robustness Chaowei Xiao Zhongzhu Chen Kun Jin Jiong Wang Weili Nie Mingyan D. Liu Anima Anandkumar Bo-wen Li D. Song DiffM 30 35 0 01 Nov 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 130 403 0 04 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 83 51 0 04 Oct 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design Fan Bao Min Zhao Zhongkai Hao Pei‐Yun Li Chongxuan Li Jun Zhu DiffM 170 63 0 30 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 188 1,133 0 10 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,296 0 02 Sep 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 171 772 0 27 May 2022
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models N. Anand Tudor Achim DiffM 183 172 0 26 May 2022
Graph Trend Filtering Networks for Recommendations Wenqi Fan Xiaorui Liu Wei Jin Xiangyu Zhao Jiliang Tang Qing Li 66 101 0 12 Aug 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 96 195 0 12 Jul 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 168 187 0 01 Feb 2021
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 37 57 0 31 Dec 2020
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 589 0 31 Dec 2020